Cargando…
Accelerated search for materials with targeted properties by adaptive design
Finding new materials with targeted properties has traditionally been guided by intuition, and trial and error. With increasing chemical complexity, the combinatorial possibilities are too large for an Edisonian approach to be practical. Here we show how an adaptive design strategy, tightly coupled...
Autores principales: | Xue, Dezhen, Balachandran, Prasanna V., Hogden, John, Theiler, James, Xue, Deqing, Lookman, Turab |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4835535/ https://www.ncbi.nlm.nih.gov/pubmed/27079901 http://dx.doi.org/10.1038/ncomms11241 |
Ejemplares similares
-
Adaptive Strategies for Materials Design using Uncertainties
por: Balachandran, Prasanna V., et al.
Publicado: (2016) -
Multi-objective Optimization for Materials Discovery via Adaptive Design
por: Gopakumar, Abhijith M., et al.
Publicado: (2018) -
Materials Prediction via Classification Learning
por: Balachandran, Prasanna V., et al.
Publicado: (2015) -
Accelerated Search for BaTiO(3)‐Based Ceramics with Large Energy Storage at Low Fields Using Machine Learning and Experimental Design
por: Yuan, Ruihao, et al.
Publicado: (2019) -
Learning from data to design functional materials without inversion symmetry
por: Balachandran, Prasanna V., et al.
Publicado: (2017)